ME 575 - Optimization

Course Information

• Syllabus
• Book Chapters
• Info Sheet
• Schedule
• Expectations
• Competencies
• Optimization Software
• YouTube Playlist
• 

Related Courses

• Computational Tools
• Dynamics & Control
• Dynamic Optimization

Homework

• 1-Optimization Basics
• 2-Two Bar Truss
• 3-Spring Design
• 4-Heat Integration
• 5-Slurry Pipeline
• 6-Quasi-Newton Methods
• 7-Discrete Design
• 8-Simulated Annealing
• 9-KKT Conditions
• 10-Interior Point Method

Projects

• Application Project
• Solver Project

Activities

• 1-MATLAB and Python
• 2-Equation Residuals
• 3-Financial Objectives
• 4-Parallel Computing
• 5-Advanced Programming
• 6-Logical Conditions
• 7-Simulated Annealing
• 8-Climate Control
• 9-Dynamic Estimation
• 10-Vapor Liquid Equilibrium
• 11-Ethyl Acetate Kinetics
• 12-Dye Fading Kinetics

Lecture Notes

• Optimization Introduction
• Mathematical Modeling
• Unconstrained Optimization
• Discrete Optimization
• Genetic Algorithms
• Constrained Optimization
• Robust Optimization
• Dynamic Optimization

Extra Content

• Box Folding
• Circle Challenge
• Linear Programming
• Minimax or Maximin
• Slack Variables

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